Research Of Network Data Visual Analysis Method Based On The Graph

In daily life, people used to obtain the required information by the graphic symbols, and search the rules to promote the progress of science and technology. But with the development of the society and the rise of Internet era, the scale of the network data becomes bigger and bigger. The network data structure is complex, and it contains a huge amount of data. If only use the traditional technology and methods, it is very difficult to understand. All the data information the network can not be exhibited totally. The best way to perform the complicated structure and large data relationship is to make it visualization.In this paper, it combines with the knowledge of data mining, focuses on the analysis of high utility item set mining arithmetic and binary algorithm. By this basis, it proposed high utility item set mining arithmetic based on half separation. And combine it with the commonly used methods of data visualization and techniques, and computer graphics. It researches and designs to realize a traffic trace data visualization system. The main contents of this paper are followed:The checking of vehicle path, may lose data by some reasons. User need to combine the data attribute of space and time with the reconstruction of the complete vehicle path to ensure the integrity of the vehicle path. At the same time, Baidu map will intuitive display the vehicle path. According to the specified sections and specified location, two kinds of path query mode is designed.Intersection relationship mining and diagram drawing. By the basis of half separation frequent item set mining arithmetic, this paper designed and implemented the intersection relationship mining, and drew the intersection diagram according to the excavate intersection relationship.